OpenKalman::internal::LinearTransformBase< Derived > Struct Template Reference

Inheritance diagram for OpenKalman::internal::LinearTransformBase< Derived >:

Collaboration diagram for OpenKalman::internal::LinearTransformBase< Derived >:

Public Member Functions
template<typename InputDist , typename... Ts, std::enable_if_t< gaussian_distribution< InputDist > and(tuple_like< Ts > and ...), int > = 0>
auto	operator() (const InputDist &x, const Ts &...ts) const
	Perform one or more consecutive linear(ized) transforms. More...
template<typename InputDist , typename Trans , typename ... NoiseDists, std::enable_if_t<(gaussian_distribution< InputDist > and ... and gaussian_distribution< NoiseDists >) and linearized_function< Trans, 1 > and std::is_invocable_v< Trans, typename DistributionTraits< InputDist >::Mean, typename DistributionTraits< NoiseDists >::Mean... >, int > = 0>
auto	operator() (const InputDist &x, const Trans &g, const NoiseDists &...ns) const
	Perform a linear(ized) transform from one statistical distribution to another. More...
template<typename InputDist , typename... Ts, std::enable_if_t< gaussian_distribution< InputDist > and(tuple_like< Ts > and ...), int > = 0>
auto	transform_with_cross_covariance (const InputDist &x, const Ts &...ts) const
	Perform one or more consecutive linear(ized) transforms, also returning the cross-covariance. More...
template<typename InputDist , typename Trans , typename ... NoiseDists, std::enable_if_t<(gaussian_distribution< InputDist > and ... and gaussian_distribution< NoiseDists >) and linearized_function< Trans, 1 > and std::is_invocable_v< Trans, typename DistributionTraits< InputDist >::Mean, typename DistributionTraits< NoiseDists >::Mean... >, int > = 0>
auto	transform_with_cross_covariance (const InputDist &x, const Trans &g, const NoiseDists &...ns) const
	Perform a linear(ized) transform, also returning the cross-covariance. More...
Public Member Functions inherited from OpenKalman::internal::TransformBase< Derived >
template<typename InputDist , typename T , typename... Ts, std::enable_if_t< distribution< InputDist > and(tuple_like< T > and ... and tuple_like< Ts >), int > = 0>
auto	operator() (const InputDist &x, const T &t, const Ts &...ts) const
	Perform one or more consecutive transforms. More...
template<typename InputDist , typename T , typename... Ts, std::enable_if_t< distribution< InputDist > and(tuple_like< T > and ... and tuple_like< Ts >), int > = 0>
auto	transform_with_cross_covariance (const InputDist &x, const T &t, const Ts &...ts) const
	Perform one or more consecutive transforms, also returning the cross-covariance. More...

Member Function Documentation

operator()() [1/2]

template<typename Derived>

template<typename InputDist , typename... Ts, std::enable_if_t< gaussian_distribution< InputDist > and(tuple_like< Ts > and ...), int > = 0>

auto OpenKalman::internal::LinearTransformBase< Derived >::operator() ( const InputDist &  x, const Ts &...  ts  ) const

inline

Perform one or more consecutive linear(ized) transforms.

Template Parameters

InputDist	The prior distribution.
Ts	A list of tuple-like structures, each containing arguments to a transform. These arguments each include a tests and zero or more noise distributions.

Returns

The posterior distribution.

operator()() [2/2]

template<typename Derived>

template<typename InputDist , typename Trans , typename ... NoiseDists, std::enable_if_t<(gaussian_distribution< InputDist > and ... and gaussian_distribution< NoiseDists >) and linearized_function< Trans, 1 > and std::is_invocable_v< Trans, typename DistributionTraits< InputDist >::Mean, typename DistributionTraits< NoiseDists >::Mean... >, int > = 0>

auto OpenKalman::internal::LinearTransformBase< Derived >::operator() ( const InputDist &  x, const Trans &  g, const NoiseDists &...  ns  ) const

inline

Perform a linear(ized) transform from one statistical distribution to another.

Template Parameters

InputDist	The prior distribution.
Trans	The linear or linearized tests on which the transform is based (e.g., LinearTransformation).
NoiseDists	Zero or more noise distributions.

Returns

The posterior distribution.

transform_with_cross_covariance() [1/2]

template<typename Derived>

template<typename InputDist , typename... Ts, std::enable_if_t< gaussian_distribution< InputDist > and(tuple_like< Ts > and ...), int > = 0>

auto OpenKalman::internal::LinearTransformBase< Derived >::transform_with_cross_covariance ( const InputDist &  x, const Ts &...  ts  ) const

inline

Perform one or more consecutive linear(ized) transforms, also returning the cross-covariance.

Template Parameters

InputDist	The prior distribution.
Ts	A list of tuple-like structures, each containing arguments to a transform. These arguments each include a tests and zero or more noise distributions.

Returns

A tuple containing the posterior distribution and the cross-covariance.

transform_with_cross_covariance() [2/2]

template<typename Derived>

template<typename InputDist , typename Trans , typename ... NoiseDists, std::enable_if_t<(gaussian_distribution< InputDist > and ... and gaussian_distribution< NoiseDists >) and linearized_function< Trans, 1 > and std::is_invocable_v< Trans, typename DistributionTraits< InputDist >::Mean, typename DistributionTraits< NoiseDists >::Mean... >, int > = 0>

auto OpenKalman::internal::LinearTransformBase< Derived >::transform_with_cross_covariance ( const InputDist &  x, const Trans &  g, const NoiseDists &...  ns  ) const

inline

Perform a linear(ized) transform, also returning the cross-covariance.

Template Parameters

InputDist	The prior distribution.
Trans	The linear or linearized tests on which the transform is based (e.g., LinearTransformation).
NoiseDists	Zero or more noise distributions.

Returns

A tuple comprising the posterior distribution and the cross-covariance.

---

The documentation for this struct was generated from the following file:

• OpenKalman/transforms/details/LinearTransformBase.hpp